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Global Banking Markets - Software Engineer - Equities Data Platform Engineering - London - Vice President (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Global Banking Markets - Software Engineer - Equities Data Platform Engineering - London - Vice President (AI): Rebuilding Goldman Sachs' Electronic Trading data infrastructure as a cloud-native, AI-first platform with an accent on high-performance data processing, real-time analytics, and distributed systems. Focus on designing ingestion pipelines, parallelized query infrastructure, AI-powered analytics interfaces, and highly available systems handling massive business-critical datasets.

Location: London, Greater London, England, United Kingdom

Company

hirify.global is a global investment banking, securities, and investment management firm founded in 1869, with offices around the world.

What you will do

  • Lead the ground-up rebuild of Electronic Trading data infrastructure into a cloud-native, AI-first platform.
  • Design, build, and maintain high-performance, highly available systems that process and distribute massive volumes of business-critical data in near real time.
  • Develop reliable data-ingestion pipelines for trading and market-data systems.
  • Design distributed computation infrastructure for parallelized queries across large datasets.
  • Build an AI-powered UI and agent framework for intelligent analytics and insights.
  • Partner with business, client-application, Regulatory, and Compliance stakeholders while mentoring engineers and shaping technical standards.

Requirements

  • Approximately 5–10 years of professional experience building high-performance, low-latency systems at Vice President level.
  • Strong Java knowledge; experience with Python, Java, or Scala is relevant.
  • Strong understanding of object-oriented programming, data structures, algorithms, design patterns, concurrency, JVM internals, garbage-collection tuning, and performance optimization.
  • Experience with highly available, low-latency systems and distributed stream processing at large scale.
  • Hands-on exposure to HDFS/S3, Snowflake, SingleStore, Kafka or similar streaming systems, and Flink or similar distributed-processing frameworks.
  • Ability to independently drive complex development, influence senior stakeholders, mentor engineers, and set technical standards.

Culture & Benefits

  • Opportunity to work on a major rebuild of an Electronic Trading data platform.
  • Collaborative environment focused on innovation, engineering quality, and craftsmanship.
  • Professional development through training and firmwide networks.
  • Benefits, wellness, personal finance offerings, and mindfulness programs.
  • Commitment to diversity, inclusion, and reasonable accommodations during recruitment.

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